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Ikon Science RokDoc 6.6.0.290

cadcamaec@protonmail.com2023-09-17Geology.Oil.Gas,Petro161
RokDoc6.6.demonstratesIkon’scontinuingfocusonenablingE&Pcompaniestoimproveefficienci

RokDoc 6.6. demonstrates Ikon’s continuing focus on enabling E&P companies to improve efficiencies, reduce costs and maximise ROI.

Highlights of the release:

RokDoc Reservoir Monitoring offers significant new functionality. RokDoc now supports corner point grid data, allowing the integration of static (geomodel) and dynamic (flow simulation) property models into 3D/4D shared earth models that can be utilised for 4D time lapse feasibility and ‘close the loop’ workflows. Using this comprehensive new toolset, asset teams can work collaboratively to update geomodel and simulation data with information from 4D seismic and other sources.

RokDoc 6.6.0 see’s numerous usability and workflow improvements for the handling of large well datasets, with the addition of new multi-well selection capabilities across the software. In response to customer feedback, RokDoc 6.6 now supports the loading, manipulation and conversion of gather datasets with irregular offsets, common in land-based projects.

End users can now move seamlessly from well-based rock physics, pressure and geomechanical analysis of conventional and unconventional reservoirs through to data-driven, 3D seismic reservoir characterisation, delivering 3D analytical geomechanical, petrophysical and elastic property models in a single, unified platform.

RokDoc is the rock physics package of choice used on every continent worldwide by all the Super Majors, most of the Majors, National Oil Companies, Independents and a host of smaller companies. It is the fastest, easiest to use and most integrated package to help interpreters understand rocks, predict pressures and optimize reservoirs. RokDoc delivers real value to the bottom line and company share price.

RokDoc 6.6.0 has released at SEG 2018 providing Improved Onshore Data Handling and Delivering Powerful New Workflows to Extend Field Life and Maximise Value of Large Datasets through Improved Knowledge Management and Machine Learning.

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